Displaying 4 results from an estimated 4 matches for "wolves_99".
2010 Jun 23
1
Shapefile
...es
wolves.plot <- ggplot(wolves.ds,aes(long,lat,group=group)) +
geom_polygon(colour='white',fill='lightblue')
wolves.plot
# How to show the state borders of Washington, Oregon, Idaho, Montana
and Wyoming on map?
# Subset from wolves to create a logistic regression model based on
WOLVES_99 and then apply to all the 5 states
# Remove the WOLVES_99 2(two value) and use "one" for presence and
"zero" for absence to end up with 153 records.
#wolfsub<-subset(wolves,subset=!(WOLVES_99==2))
#wolfsub <- subset(wolves.map,WOLVES_99!=2)
wolfsub <- wolves.map[!wolves...
2010 Jun 24
0
rgdal-maptools
...es
wolves.plot <- ggplot(wolves.ds,aes(long,lat,group=group)) +
geom_polygon(colour='white',fill='lightblue')
wolves.plot
# How to show the state borders of Washington, Oregon, Idaho, Montana and Wyoming on map?
# Subset from wolves to create a logistic regression model based on WOLVES_99 and then apply to all the 5 states
# Remove the WOLVES_99 2(two value) and use "one" for presence and "zero" for absence to end up with 153 records.
wolfsub <- wolves.map[!wolves.map$WOLVES_99 %in% 2,];wolfsub
dim(wolfsub)
# 42 = Forest, 51 = Shrub, > 81 = Agriculture
wol...
2010 Jun 23
1
Plotting Data on a Map
...es
wolves.plot <- ggplot(wolves.ds,aes(long,lat,group=group)) +
geom_polygon(colour='white',fill='lightblue')
wolves.plot
# How to show the state borders of Washington, Oregon, Idaho, Montana
and Wyoming on map?
# Subset from wolves to create a logistic regression model based on
WOLVES_99 and then apply to all the 5 states
# Remove the WOLVES_99 2(two value) and use "one" for presence and
"zero" for absence to end up with 153 records.
#wolfsub<-subset(wolves,subset=!(WOLVES_99==2))
#wolfsub <- subset(wolves.map,WOLVES_99!=2)
wolfsub <- wolves.map[!wolves...
2010 Jun 26
1
predict newdata question
...0.728, 1.314, 3.042, 0.469,
0.248, 0.675, 1.91, 0.228, 4.058, 3.563, 0.801, 3.421, 0.515,
1.945, 1.235, 1.999, 2.495, 1.193, 1.896, 1.689, 1.144, 1.028,
0.858, 1.703, 4.009, 0.096, 1.85, 0.081, 0, 1.759, 5.549, 4.99,
4.267, 1.792, 0.204, 2.144, 0.212, 9.263, 1.615, 3.502, 1.927,
1.665, 2.17), WOLVES_99 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,...